[HTML][HTML] A systematic review of data analytics applications in above-ground geothermal energy operations

PMB Abrasaldo, SJ Zarrouk… - … and Sustainable Energy …, 2024 - Elsevier
The advent of reliable and inexpensive sensors and advancements in general computing
have made data-heavy algorithms feasible for operational, real-time decision-making …

[HTML][HTML] Recent trends of supercritical CO2 Brayton cycle: Bibliometric analysis and research review

A Yu, W Su, X Lin, N Zhou - Nuclear Engineering and Technology, 2021 - Elsevier
Abstract Supercritical CO 2 (S–CO 2) Brayton cycle has been applied to various heat
sources in recent decades, owing to the characteristics of compact structure and high …

Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment

X **, F Yang, H Zhang, J Zhang, C **ng, Y Yan… - Applied Energy, 2023 - Elsevier
Efficient capture and global optimization of organic Rankine cycle (ORC) operating features
in road environment is the key to obtain actual waste heat recovery potential. The complexity …

[HTML][HTML] Working fluid and system optimisation of organic Rankine cycles via computer-aided molecular design: A review

CN Markides, A Bardow, M De Paepe… - Progress in Energy and …, 2025 - Elsevier
Organic Rankine cycle (ORC) systems are a class of distributed power-generation systems
that are suitable for the efficient conversion of low-to-medium temperature thermal energy to …

New procedure for an optimal design of an integrated solar tower power plant with supercritical carbon dioxide and organic Rankine cycle and MED-RO desalination …

M Fallahzadeh, MHK Manesh, B Ghorbani - … Energy Technologies and …, 2023 - Elsevier
In this paper, an innovative structure for the production of electricity and freshwater in
Kangan Port, located in southern Iran and close to the Persian Gulf, is developed and …

Machine learning prediction of ORC performance based on properties of working fluid

Y Peng, X Lin, J Liu, W Su, N Zhou - Applied Thermal Engineering, 2021 - Elsevier
In order to develop machine learning methods for performance prediction of basic ORC
(BORC) and regenerative ORC (RORC), thermodynamic properties of working fluids are …

An integrated online dynamic modeling scheme for organic Rankine cycle (ORC): Adaptive self-organizing mechanism and convergence evaluation

X **, F Yang, H Zhang, C **ng, H Yang… - Applied Thermal …, 2023 - Elsevier
The reasonable construction of organic Rankine cycle (ORC) data-driven model is the basis
of analysis, prediction and optimization. The validity of data, the rationality of input variables …

ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid

S Mohan, P Dinesha, PE Campana - Energy, 2022 - Elsevier
Organic Rankine cycle (ORC) has been demonstrated to extract useful work output from low-
grade heat sources like solar-thermal, biomass/biofuel combustion, geothermal, and waste …

Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature …

X **, F Yang, H Zhang, C **ng, W Zhang, Y Wang - Applied Energy, 2022 - Elsevier
The construction of organic Rankine cycle (ORC) system model is the key to system
performance analysis and prediction. However, traditional analysis methods have obvious …

Comprehensive analysis of the effect of water injection on performance and emission parameters of the hydrogen fuelled recuperative and non-recuperative gas …

A Görgülü, H Yağlı, Y Koç, A Koç - International Journal of Hydrogen …, 2020 - Elsevier
The increasing need for fossil energy along with waste gases led to both the increase in the
environment pollution and search for alternative energy sources. The most important …